Data aggregation is crucial in epidemiology because it allows for the analysis of larger datasets, leading to more robust and generalizable findings. By aggregating data, researchers can identify patterns, trends, and associations that may not be apparent in smaller datasets. This process enhances the reliability and validity of epidemiological studies.
